摘要
针对外耳轮廓特征与人脸五官的比例关系,提出一种基于耳廓几何参数与面部结构特征相结合的生物鉴别方法。该方法将外耳轮廓与人脸某些特征相结合,如特征向量中包括人耳宽度与两眼瞳孔之间的水平距离之比、人耳高度与眼睛和嘴之间的垂直距离之比。实验结果表明,该算法简单、可操作性强,对数据采集设备及采集条件要求较低,识别率较高。
According to the relationship between ear contour and proportion of the five sense organs, this paper adopts a method for biometrics based on combination of ear contour's geometry parameter and facial configuration features. The method combines ear contour and some facial features such as the feature vector consists of the proportion of ear's width compared with pupils' horizontal distance and the proportion of ear's height compared with vertical distance between eyes and mouth. Experimental results show that the method is simple and well operational It has low demand on data acquisition equipment and acquisition condition, and does well in recognition.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第4期223-225,共3页
Computer Engineering
基金
教育部"春晖计划"科研合作基金资助项目"基于人耳识别的个人身份小型快速鉴别系统关键技术研究"(Z2005-2-11009)
关键词
人耳识别
多模态生物识别技术
虹膜定位
轮廓跟踪
模式识别
ear recognition
multimode biometric technology
iris localization
contour tracking
pattern recognition